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Graph-based induction as a unified learning framework

https://doi.org/10.1007/bf00872095

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Knowledge Level and Inductive Uses of Chunking (EBL)

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Explanation-Based Learning: An Alternative View

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Induction of Decision Trees

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A Heuristic Approach to the Discovery of Macro-Operators

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A theory and methodology of inductive learning

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Macro-operators: A weak method for learning

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Qualitative simulation

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Quantitative results concerning the utility of explanation-based learning

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Cmpositional modeling: finding the right model for the job

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Automatic programming of behavior-based robots using reinforcement learning

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COMBINING EMPIRICAL AND ANALYTICAL LEARNING WITH VERSION SPACES

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EMPIRICAL SUBSTRUCTURE DISCOVERY

inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50033-4openalex-snapshot

Fuzzy Substructure Discovery

inferredcites →https://doi.org/10.1016/s0364-0213(86)80005-2openalex-snapshot

Integrated Learning: Controlling Explanation

inferredcites →https://doi.org/10.1023/a:1022652016863openalex-snapshot

A Study of Explanation-Based Methods for Inductive Learning

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Explanation-Based Generalization: A Unifying View

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Introduction to V.L.S.I. Systems

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Generating an Array of Pythagorean Triples

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The Jackknife, the Bootstrap and Other Resampling Plans

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Explanation-based learning: a survey of programs and perspectives

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Classification and Regression Trees.

inferredcites →https://doi.org/10.2307/2530946openalex-snapshot

Classification and Regression Trees.

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Knowledge Discovery for Avionics Maintenance : An Unsupervised Concept Learning Approach

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